Struct BinomialDistribution 

pub struct BinomialDistribution {
    pub number_of_trials: i64,
    pub success_probability: f64,
    pub distribution_name: String,
    pub description: String,
}

Parameters of a Binomial distribution.

Models the number of successes in number_of_trials independent Bernoulli trials, each succeeding with probability success_probability.

Fields

number_of_trials: i64

Number of independent trials n; must be ≥ 0.

success_probability: f64

Per-trial success probability p; must lie in [0, 1].

distribution_name: String

Optional human-readable name; unused by the numerics, defaults to empty.

description: String

Optional human-readable description; unused by the numerics, defaults to empty.

Trait Implementations

impl Cdf for BinomialDistribution

fn cdf(&self, x: f64) -> f64

Evaluates the cumulative distribution function at x.

impl Clone for BinomialDistribution

fn clone(&self) -> BinomialDistribution

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for BinomialDistribution

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for BinomialDistribution

fn default() -> BinomialDistribution

Returns the “default value” for a type.

impl Moments for BinomialDistribution

fn mean(&self) -> Option<f64>

Returns the theoretical mean, or None if it is undefined.

fn variance(&self) -> Option<f64>

Returns the theoretical variance, or None if it is undefined.

impl Pmf for BinomialDistribution

fn pmf(&self, k: i64) -> f64

Evaluates the probability mass function at integer k.

impl Quantile for BinomialDistribution

fn quantile(&self, p: f64) -> f64

Evaluates the quantile (inverse CDF) at probability p.

impl Sample for BinomialDistribution

fn sample(&self, rng: &mut SplitMix64) -> f64

Draws one variate, advancing rng.